Posted: 18 June
The role
Head of AI/ML Platform & Engineering
📍 UK / Remote | 🌍 Global Impact | 🚀 Cutting-edge AI & Data Platform
We are partnering with a global leader in insights, analytics, and technology to appoint a Head of AI/ML Platform & Engineering. This is a rare opportunity to shape and scale a next-generation platform at the intersection of generative AI, machine learning, and privacy-first data systems.
The Opportunity
You’ll be joining a highly innovative, cross-disciplinary team building a world-class synthetic data platform used at global scale. This platform is central to driving future-facing capabilities such as:
- AI-powered data augmentation tools
- “Digital twin” models simulating real-world behaviours
- Secure, compliant frameworks for synthetic data generation
This is a unique chance to lead engineering for a product that blends scientific rigour with real-world impact, collaborating with leading academic partners and internal experts across data science, engineering, and research.
The Role
As Head of Platform & Engineering, you’ll define the technical direction and lead the delivery of a secure, scalable, enterprise-grade platform used globally.
You will:
- Set the engineering vision and architecture, ensuring the platform scales to support complex, compute-heavy AI workloads
- Build and lead a high-performing team across software, data, and MLOps engineering
- Bridge research and production, translating advanced ML into robust, real-world systems
- Establish best-in-class engineering standards, from SDLC maturity to operational excellence
- Embed privacy, security, and governance into every layer of the platform
- Enable self-serve capabilities, empowering teams to safely generate and experiment with synthetic data
- Optimise cloud infrastructure and costs, balancing performance with efficiency
Technology Environment
You’ll operate within a modern, cloud-native ecosystem including:
- Cloud & Infrastructure: GCP, Kubernetes (GKE), Docker, Terraform/Pulumi
- MLOps & AI Platforms: Vertex AI, Kubeflow, model registries, ML CI/CD
- Backend: Python, FastAPI, async frameworks (Celery/RabbitMQ)
- Data: BigQuery, distributed processing, vector databases
- AI/ML: PyTorch, LLMs, generative models
What We’re Looking For
Technical Leadership
- Proven experience scaling and leading cross-functional engineering teams
- Strong background in distributed systems and cloud-native architecture
- Expertise in building highly available, scalable platforms
MLOps / GenAI Experience
- Experience delivering ML platforms, pipelines, and production models
- Understanding of LLM deployment, GPU workloads, and vector databases
- Familiarity with the challenges of productionising AI
Commercial & Stakeholder Skills
- Ability to align engineering with business and product strategy
- Strong collaboration across research, product, and executive teams
- Knowledge of enterprise security, governance, and compliance frameworks
Why Apply?
- Shape a greenfield, high-impact platform at scale
- Work at the forefront of synthetic data and generative AI innovation
- Collaborate with top-tier talent across engineering and research
- Influence how global organisations generate and use data in the future
If you're a hands on, visionary engineering leader with a passion for AI platforms and building high-performing teams, we’d love to hear from you.
👉 Apply now or get in touch for a confidential discussion.
